GDB/ZE - Product Owner Data Products (M/F/D)


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LOCATION


COMPANY


JOB FIELD


JOB TYPE


JOB ID

Objective of the position 

 

Describe your Product Mission here / objective of the role.  
At our unit “Data Foundation - Big Data Management” we aim to offer organizations a robust and scalable solution for managing and deriving insights from vast quantities of data. By utilizing Azure's PaaS components, our platform streamlines the deployment and handling of Big Data workloads, empowering our clients to make data-driven decisions and propel business expansion. Our team is accountable for the creation and upkeep of the Big Data platform built on Azure PaaS components EDL (Enterprise Data Lake). We collaborate intensively with stakeholders to comprehend their needs and devise solutions that fulfill their expectations. The team is also in charge of guaranteeing the platform's scalability, dependability, and security, and for staying abreast with the newest technologies and trends in the big data domain 

 

About the Job: 

We are seeking a highly motivated and detail-oriented candidate who will be owning the data product layer of our Enterprise Datalake, managing and prioritizing the requirements of our stakeholders in an Azure and Databricks environment together with an ambitious team. 

 

Main tasks 

 

  • Drive and own the further development of the data product layer of our Enterprise Datalake to meet both user and internal needs. 

  • Align with local and global stakeholders to ensure the platform’s scalability, reliability and security 

  • Together with your team ensure high quality of the services you are responsible for and initiate improvement measures as well as functionality 

  • Stay abreast of the newest technologies and trends in the big data and data mesh domain 

  • Act as the point of contact for new demands and requests from business customers looking to consume data from our Enterprise Datalake in the form of Data Products 

  • Collaborate with data product owners and user teams to understand their data requirements and provide suitable solutions. 

  • Test new features as well as improvements and suggest implementation if beneficial 

  • Demonstrate fluent communication skills in English (spoken and written)   

 

 

 

 

Job Requirements  

minimum requirement to carry out the work – you might want to point out “additional plus/nice to have skills” that are not mandatory 

 

Education 

  • Bachelor's degree in computer science, Information Technology, Engineering, Business, or related fields. 

Work experience 

  • Minimum 3-4 years related working experience as Product Owner, Project Manager or Business Consultant in data focused domains  

  • Before that minimum 3-4 years related working experiences as a Data Engineer using cloud platforms like Azure DatabricksAzure Synapse or others 

Technical & Professional Knowledge (mandatory) 

  • Experience in an Agile way of working with a DevOps mindset 

  • In-depth know how with Lakehouse or Data Mesh concepts ideally on Azure Databricks or Synapse platform, other platforms also welcome 

  • Strong requirements engineering and backlog management skills 

  • Experience with managing projects and tasks through Azure DevOps or similar tools 

  • Comfortable with customer facing roles and with leading and managing teams or projects 

  • Coming from a data engineering background having solid understanding of SQL, database technologies, data modelling and Business Intelligence area 

 

Technical & Professional Knowledge (additional plus/nice to have skills) 

  • Experience with Azure Databricks, Azure Datafactory, Azure Synapse  

  • Ideally, application of AI tools in any phase of the lifecycle of data solutions  

  • PowerBI as one of the main tools of our users 

  • Integration knowledge, how metadata can be exchanged with other applications 

  • Experience with data cataloguing tools e.g. Collibra or Unity Catalog 

  • Team player with strong interpersonal, written, and verbal communication skills  

 

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Hyderabad, IN

BASF Digital Solutions Private Limited
Digitalization
Permanent
138634
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